This article highlights 10 of the biggest trends triggered by technological advancements in artificial intelligence (AI) and machine learning (ML). These trends have collectively revolutionized the way businesses approach everything from education and economics to the environment. The broad AI and machine learning trends include the provisioning of cloud platforms for data activities – accelerating the use […]
Data Mesh Architecture Benefits and Challenges
ThoughtWorks consultant Zhamak Dehghani created the concept of data mesh as a self-serve, domain-oriented design that later evolved into a data-as-a-product design. By integrating and analyzing data from disconnected systems all at once, the data mesh architecture benefits the organization by eliminating the need to pull data from multiple systems and preprocess it. In a […]
Data Governance and Data Catalogs: Where Do They Intersect?
Data catalogs and Data Governance work together and intersect in some very useful ways. Data catalogs communicate information about an organization’s data assets, and where they are located. Data Governance, on the other hand, deals with the overall management of data, such as accuracy, usability, security, and the established processes the organization uses. Data Governance […]
Data Analytics and BI Trends in 2023
As we enter 2023, it is a good time to explore the biggest data analytics and BI trends for this new year. This article will look at the top 12 trends in data analytics and BI, which collectively guide the education, health care, economic, and environment sectors. In a data-first business ecosystem, data and analytics are jointly […]
Developing a Successful Data Science Project
While Data Science practitioners, aspirants, and enthusiasts often get caught up in the business benefits of Data Science, it is equally important to keep a close watch on the common pitfalls that need to be avoided to launch a successful Data Science project. By identifying and exploring why some initiatives fail, data scientists can learn […]
Metadata Management vs. Master Data Management
Businesses rely on knowing their data to survive and grow. Metadata management and master data management (MDM) provide essential processes for organizations to gain this knowledge and succeed. As a result, both need to be managed well. However, the differences and intersections between metadata management vs. master data management are often complicated to disentangle for […]
Semantic Technology Trends in 2023
The trends of semantic technology are based on the desire to improve the computer’s understanding of data. The goal of combining semantic technology with a computer system is to discover relationships within the data. Semantic technology can be described as tools and methods that can process, categorize, and find patterns in the data. Semantics is […]
Eight Common Data Strategy Pitfalls
In the digital business world, organizations can’t take advantage of their data assets without a proper Data Strategy in place. The Data Strategy is the plan that enables an enterprise to meet its business goals through its data. Avoiding common Data Strategy pitfalls and creating a successful strategy empowers an organization to realize its mission […]
5 Key Elements of a Data Governance Framework
Like so many roles and operations that have emerged in the digital age, Data Governance is often misunderstood – confused with Data Management or seen as an extension of IT. How to communicate the role of Data Governance and ensure it is successfully implemented? At DATAVERSITY’s 2022 Enterprise Data Governance Online event, data practitioner John Ladley shared five […]
Database Management 101
An important tool for organizations to ensure their data is stored, validated, and protected is database management. It is used to develop and deploy processes that end users are comfortable with. They can feel confident that the data is easy to work with, reliable, and accessible. It is important to make sure your organization’s data is […]